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Each Finforge-N3 node blends parallel deep models (an ensemble) and stacked sub-models in sequence. The ensemble reduces variance and improves uncertainty calibration. The in-node chain lets later sub-models learn from earlier outputs for regime-aware, multi-step decisions. A learned gate picks which expert to trust at each timestep.